Senior Applied Scientist - Observability
Uber
Senior Applied Scientist - Observability
We are looking for a Senior Applied Scientist to build a real-time observability platform for customer experience. You will design anomaly detection, statistical monitoring, and data infrastructure to improve service quality. Requires 6+ years of experience and expertise in machine learning, causal inference, and time-series analysis.
Senior Applied Scientist - Observability
We are looking for a Senior Applied Scientist to build a real-time observability platform for customer experience. You will design anomaly detection, statistical monitoring, and data infrastructure to improve service quality. Requires 6+ years of experience and expertise in machine learning, causal inference, and time-series analysis.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Tools (Must-have)
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Design and improve state-of-the-art anomaly detection and alerting for multivariate time series metrics.
- Build methods to reduce incident impact, such as by shortening incident time-to-detection and time-to-resolution while reducing alert fatigue.
- Contribute to intelligent incident response workflows: auto-triage, root-cause hints, auto-mitigation actions.
- Develop statistical monitoring approaches for code deployment safety and feature rollout safety.
- Support safe and fast product releases by adjusting deployment soak times or rollout speed based on statistical significance.
- Partner with Engineering on building data infrastructure producing analytics-ready datasets.
- Define best practices in instrumentation and metric definitions for incident detection.
- Contribute to monitoring coverage assisted observability and monitoring.
- Define success metrics for incident detection systems and create evaluation harnesses.
- Communicate results clearly to technical and non-technical stakeholders; drive alignment on tradeoffs, OKRs and roadmap.